Geoapify
We offer maps, API, and tools to build a custom map for your website. Create an attractive and interactive map for your business!
Integrate the Geoapify API with the Python API
Setup the Geoapify API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Geoapify and Python remarkably fast. Free for developers.
Popular Geoapify and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Geoapify#
The Geoapify API offers a suite of location-based services, including geocoding, routing, and map data. With Pipedream, you can leverage these services to create serverless workflows that react to various triggers, transform and analyze location data, and integrate with other APIs or services. Whether you're building apps that require address lookup, route optimization, or location intelligence, integrating Geoapify with Pipedream enables you to automate and scale these operations efficiently.
Connect Geoapify#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
geoapify: {
type: "app",
app: "geoapify",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.geoapify.com/v1/geocode/search`,
params: {
text: `44 Montgomery St., San Francisco, CA 94104`,
format: `json`,
apiKey: `${this.geoapify.$auth.api_key}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}